Global Accounting System

Maxima managed to find and recruit experienced developers and QA engineers who created a single trusted source of data for the downstream system for an international financial institution, as well as support specialists who maintain it.

Executive Summary / Key Highlights

  • One of the leading global financial institutions
  • Creation of a single trusted source that will supply data for the downstream system
  • Enhanced solution provides ability to manage complex fund structures across multiple accounting bases
  • Java / J2EE development, Web Services, Oracle Exadata

The Client

One of the world's largest asset management and financial services institutions.

Problem Statement

Our client needed experienced consultants on board that had previous experience with critical project 1 trial modules and critical project 2 data structures.


We worked in partnership with business users and business analysts to understand and felicitate requirements. We defined the infrastructure set up for MQ and web servers and databases. Our consultants decided to design the solution and initial architecture, based on future operability, this would allow creating a system that will operate for years.

During the project

The work started with designing key interfaces for connecting to dependent upstream and downstream systems. Thanks to excellent cooperation we captured key data points used for calculations that will be sent to NASDAQ. Maxima developers coded the alert and validation modules for downstream consumption and delivery. The quality assurance team performed unit testing, system and regression testing, they prepared detailed test cases for each interface to ensure the highest level of quality. Dedicated teams worked on UAT and PROD and supported the client during each release.


We successfully completed the project and created a single trusted source that will supply data for the downstream system. The data will be used to perform impact calculations on the per-share and basis point and percentage levels. Later the data gets published to NASDAQ through a downstream module.